Volume conduction effects in brain network inference from electroencephalographic recordings using phase lag index

Peraza, Luis R.; Asghar, Aziz; Green, Gary; Halliday, David M.

Abstract

In this paper, we test the performance of a synchronicity estimator widely applied in Neuroscience, phase lag index (PLI), for brain network inference in EEG. We implement the four sphere head model to simulate the volume conduction problem present in EEG recordings and measure the activity at the scalp of surrogate sources located at the brain level. Then, networks are estimated under the null hypothesis (independent sources) using PLI, coherence (R) and phase coherence (PC) for the volume conduction and no volume conduction (NVC) cases. It is known that R and PC are highly influenced by volume conduction, leading to the inference of clustered grid networks. PLI was designed to solve this problem. Our simulations show that PLI is partially invariant to volume conduction. The networks found by PLI show small-worldness, with a clustering coefficient higher than random networks. On the contrary, PLI-NVC obtains networks whose distribution is closer to random networks indicating that the high clustering shown by PLI networks are caused by volume conduction. The influence of volume conduction in PLI might lead to biased results in brain network inference from EEG if this behaviour is ignored. © 2012 Elsevier B.V.

Citation

Peraza, L. R., Asghar, A., Green, G., & Halliday, D. M. (2012). Volume conduction effects in brain network inference from electroencephalographic recordings using phase lag index. Journal of neuroscience methods, 207(2), 189-199. https://doi.org/10.1016/j.jneumeth.2012.04.007

• Journal Article Type: Article
• Acceptance Date: Apr 6, 2012
• Online Publication Date: Apr 21, 2012
• Publication Date: Jun 15, 2012
• Journal: JOURNAL OF NEUROSCIENCE METHODS
• Print ISSN: 0165-0270
• Electronic ISSN: 1872-678X
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 207
• Issue: 2
• Pages: 189-199
• DOI: https://doi.org/10.1016/j.jneumeth.2012.04.007
• Keywords: Brain networks; Phase lag index; Coherence; Electroencephalography; Volume conduction
• Public URL: https://hull-repository.worktribe.com/output/417485
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S0165027012001306?via%3Dihub